Comparing Least-Squares Fit and Least Absolute Deviations Fit
By A Mystery Man Writer
The Demonstration compares the least-squares fit method and the least absolute deviations fit method. A straight line is fitted to a set of data points. In the case of the least-squares fit the straight line is obtained by minimizing the sum of the squares of the residuals which are the deviations of the data points from the line. In the case of the least absolute deviations fit the straight li;
Least Squares Fitting
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Robust linear estimator fitting — scikit-learn 1.4.1 documentation
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Linear regression - Wikipedia
Comparing Least-Squares Fit and Least Absolute Deviations Fit - Wolfram Demonstrations Project
